Displacement Interpolation Using Monotone Rearrangement. - Donsub Rim; Kyle T. Mandli (SIAM/ASA J. Uncertain. Quantification, 2018)

Transport Reversal for Model Reduction of Hyperbolic Partial Differential Equations. - Donsub Rim; Scott Moe; Randall J. LeVeque (SIAM/ASA J. Uncertain. Quantification, 2018)

Dimensional Splitting of Hyperbolic Partial Differential Equations Using the Radon Transform. - Donsub Rim (SIAM J. Sci. Comput., 2018)

Exact and Fast Inversion of the Approximate Discrete Radon Transform. - Donsub Rim (CoRR, 2019)

Exact and fast inversion of the approximate discrete Radon transform from partial data. - Donsub Rim (Appl. Math. Lett., 2020)

Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems. - Donsub Rim; Luca Venturi; Joan Bruna; Benjamin Peherstorfer (CoRR, 2020)

Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting. - Fan Wu; Sanghyun Hong 001; Donsub Rim; Noseong Park; Kookjin Lee (CoRR, 2022)

A range characterization of the single-quadrant ADRT. - Weilin Li; Kui Ren; Donsub Rim (Math. Comput., 2022)

Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. - Woojin Cho; Kookjin Lee; Donsub Rim; Noseong Park (NeurIPS, 2023)

Performance bounds for Reduced Order Models with Application to Parametric Transport. - Donsub Rim; Gerrit Welper (CoRR, 2023)

Manifold Approximations via Transported Subspaces: Model Reduction for Transport-Dominated Problems. - Donsub Rim; Benjamin Peherstorfer; Kyle T. Mandli (SIAM J. Sci. Comput., 2023)

adrt: approximate discrete Radon transform for Python. - Karl Otness; Donsub Rim (J. Open Source Softw., 2023)

Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks. - Fan Wu; Woojin Cho; David Korotky; Sanghyun Hong 001; Donsub Rim; Noseong Park; Kookjin Lee (CIKM, 2024)

A Low Rank Neural Representation of Entropy Solutions. - Donsub Rim; Gerrit Welper (CoRR, 2024)

On the performance of sequential Bayesian update for database of diverse tsunami scenarios. - Reika Nomura; Louise A. Hirao Vermare; Saneiki Fujita; Donsub Rim; Shuji Moriguchi; Randall J. LeVeque; Kenjiro Terada (CoRR, 2024)

FastLRNR and Sparse Physics Informed Backpropagation. - Woojin Cho; Kookjin Lee; Noseong Park; Donsub Rim; Gerrit Welper (CoRR, 2024)

An explicit spectral decomposition of the ADRT. - Weilin Li; Karl Otness; Kui Ren; Donsub Rim (CoRR, 2024)